An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data

Lucian José Gonçales, Kleinner Farias, Lucas Silveira Kupssinskü, Matheus Segalotto

Abstract: Highlights•We trained machine learning techniques with electroencephalogram data.•Machine learning techniques classified developers’ code comprehension.•Machine learning are effective to classify code comprehension using brain waves.•The effectivity of machine learning techniques was higher than a random classifier.•Machine learning techniques presented an effectiveness higher than 80%.